Potential factors associated with fruit and vegetable intake after premature acute coronary syndrome: a prospective cohort study
Bibliographic record
Abstract
Studies on dietary changes and their associated factors are limited, particularly with respect to younger cardiovascular patients. Our objective was to evaluate the factors associated with fruit and vegetable intake among adults with premature acute coronary syndrome (ACS) 1 year after the event. We used data from GENESIS-PRAXY, a multicentre prospective study of adults aged 18–55 years, hospitalised for ACS. Participants were 704 adults from 24 centres in Canada, 1 in USA and 1 in Switzerland. Data were collected through questionnaires and chart reviews at baseline and 1 year post-ACS. Fruit and vegetable intake was low among adults with premature ACS, and remained suboptimal at 1 year post-ACS, with only 21% meeting the minimum recommendations of at least 5 daily servings. The findings suggest that patient lifestyle characteristics, such as the number of hours spent at work and baseline intake are factors that may be associated with the intake of fruits and vegetables. More research is needed to assess effective strategies to increase fruit and vegetable intake among patients with premature ACS so that they meet dietary recommendations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".